Recipe for Success: Stirring Up a Complete Predictive Analytics Process

Duration: 0.5 days

Audience

This workshop is designed for marketers, data analysts, business analysts, and executives who want to understand the best practices of conducting end-to-end analytics. Whether you're an executive/manager wanting a better understanding of the most efficient processes for your analytics team, or you're a business analyst/marketer looking for best practices to solve your analytics problem, or you're an IT expert wanting to better understand why the analytics team regularly requests the data be in a specific structure, this workshop will enable you to better support the end-to-end analytics needs of your company.

Course Description

You have a business objective, and you have volumes of data. How do you efficiently get from A to Z? With this half-day workshop, you have a chance to get hands-on experience and learn best practices for the end-to-end analytics process - from data preparation to exploratory analysis to predictive modeling and implementation. This workshop is taught by top-notch analytics consultants who live and breathe this process on a day-to-day basis, so the information that you get is based on actual experience and proven techniques. The hands-on session focuses on every facet of the predictive modeling process, from A to Z. Accommodating missing data, sampling guidelines, clustering, text mining, working with decision trees, and selecting the best model are just a few of the topics that are covered. These complicated data mining procedures are presented in the context of real-world examples, so you leave the workshop with the practical knowledge to use these techniques in your business immediately. You'll leave wit h a cookbook full of the recipes for success!

Prerequisites

There are no formal prerequisites for this workshop, and you do not need to be a statistician to attend this session. SAS software experience is helpful but is not necessary. Prior to the workshop, SAS Analytical Consultants are offering a three-part free online Web series that covers best practices and approaches to end-to-end analytics. While this is not a requirement, you are strongly encouraged to attend these online sessions to gain a deeper insight into the overall process.

Course Contents

You learn the most effective methods for the following:

• data preparation, sampling, identifying temporal structure, aggregation, and creating new variables
• partitioning, graphical analysis, association analysis, clustering, filtering, and dealing with missing values
• variable selections, regression modeling, decision trees, neural networks, and selecting the best model
• model validation, interpreting model results, putting your models to work, and developing a modeling cycle

Software Addressed

This course addresses the following software product(s): SAS Enterprise Guide, SAS Enterprise Miner.

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